Sr. Solutions Engineer

Databricks
Toronto
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Leadership","Presentation","Stakeholder management","Problem-solving"]

Pre-sales tech lead for enterprise accounts, directing the technical strategy to maximize adoption of Databricks’ data and AI platform. Partners with Account Executive teams to shape value-driven outcomes, build proofs of concept, and drive ML/AI use cases across large global clients, with hands-on support from a technical team. Strong data, cloud, and programming expertise enable data-driven transformations and executive-level influence.

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FursaFursa
Databricks
Databricks
3 months ago

Sr. Solutions Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 55 minutes agoStatus: Live

Job Summary

Pre-sales tech lead for enterprise accounts, directing the technical strategy to maximize adoption of Databricks’ data and AI platform. Partners with Account Executive teams to shape value-driven outcomes, build proofs of concept, and drive ML/AI use cases across large global clients, with hands-on support from a technical team. Strong data, cloud, and programming expertise enable data-driven transformations and executive-level influence.
Location: Toronto
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Be the main technical voice for Databricks across multiple clients
  • •Lead customers on a transformational journey to evaluate and adopt Databricks as part of their strategy
  • •Implement the technical strategy in the account with a close understanding of the strategy
  • •Build a movement of technical champions within the account
  • •Align technical strategies around Databricks solutions and work with sales and technical peers to drive business outcomes

Key Requirements

  • •Production programming experience in Python, R, Scala or Java
  • •Proficiency at establishing virtual teams, and leading them to ultimate success within the account
  • •Experience working very large (> $1m ARR), global accounts
  • •Form relationships with executives and influencers
  • •Technical in big data, data science and cloud (Azure & AWS)
Experience:Data analyticsEnterprise softwareCloud computingAI/MLBig data
Skills:CommunicationLeadershipPresentationStakeholder managementProblem-solving
Certifications:Databricks CertificationSnowflake CertificationAWS CertificationAzure Certification
Languages:English
Tech Stack:PythonRScalaJavaAzureAWSSnowflakeDatabricks

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn